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Single epoch ambiguity resolution for Galileo with the CAR and LAMBDA methods

机译:用CAR和LAMBDA方法对伽利略进行单历时歧义解析

摘要

This paper investigates single epoch ambiguity resolution performance using Galileo four frequency data. Two commonly used ambiguity resolution methods are used in the tests, including the Cascade Ambiguity Resolution (CAR) and the Least-Squares Ambiguity Decorrelation Adjustment (LAMBDA) methods. For CAR method, four optimal combinations are carefully selected according to their wavelength to noise ratios and success rate for ambiguity fixing. The test results show, in general, the LAMBDA method performs better than the CAR method. The speed of ambiguity resolution is closely related to the carrier phase measurement precision. With carrier phase measurement precision of 3 mm, single epoch ambiguity resolution can be achieved at every epoch with simulated 1-s interval 24-h Galileo data (total epochs 86,400). With the increase of carrier phase noise, ambiguity resolution performances become worse. When the noise level is increased to 12 mm, single epoch ambiguity resolution can only be achieved about 50% of epochs.
机译:本文使用伽利略四频数据研究单历元歧义分辨率性能。测试中使用了两种常用的歧义解决方法,包括级联歧义解决方法(CAR)和最小二乘歧义解相关调整(LAMBDA)方法。对于CAR方法,根据它们的波长噪声比和成功率的模糊性,精心选择了四个最佳组合。测试结果表明,一般而言,LAMBDA方法的性能优于CAR方法。歧义分辨率的速度与载波相位测量精度密切相关。载波相位测量精度为3 mm,可以使用模拟的1-s间隔24-h Galileo数据在每个历元上实现单个历元歧义分辨率(总共历时86,400)。随着载波相位噪声的增加,歧义分辨性能变差。当噪声水平增加到12毫米时,单个历元歧义分辨率只能达到约50%的历元。

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